Autonomous AI Systems: Practical Guide to Building Agentic AI and Self-Learning Systems The future of artificial intelligence lies in autonomy-AI systems that can learn, reason, and act without constant human intervention. Autonomous AI Systems explores the cutting-edge advancements in Agentic AI, self-learning models, and AI-driven automation that are transforming industries. From real-time decision-making to adaptive learning, this book unveils the technologies shaping the next wave of AI evolution. Written by AI ...
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Autonomous AI Systems: Practical Guide to Building Agentic AI and Self-Learning Systems The future of artificial intelligence lies in autonomy-AI systems that can learn, reason, and act without constant human intervention. Autonomous AI Systems explores the cutting-edge advancements in Agentic AI, self-learning models, and AI-driven automation that are transforming industries. From real-time decision-making to adaptive learning, this book unveils the technologies shaping the next wave of AI evolution. Written by AI expert Nathaniel Crossfield, this book is built on the latest research, real-world applications, and best practices in AI development. Whether you're an AI engineer, data scientist, researcher, or business leader, you'll gain deep insights into how autonomous systems function, how to build them effectively, and how they're revolutionizing cybersecurity, healthcare, finance, robotics, and more. This comprehensive guide takes you on a journey from foundational AI principles to advanced Agentic AI systems. You'll learn about self-improving models, reinforcement learning, autonomous decision-making frameworks, and ethical AI design. Unlike theoretical discussions, this book emphasizes real-world implementation, offering hands-on projects, case studies, and practical coding exercises. What's Inside: A deep dive into Agentic AI and self-learning architectures Step-by-step tutorials on building autonomous AI systems Real-world applications in business, cybersecurity, healthcare, finance, IoT, and robotics Practical coding exercises using Python , TensorFlow , PyTorch , and LangChain Advanced AI concepts, including Reinforcement Learning , Multi-Agent Systems , and Neuro-Symbolic AI Ethical considerations, AI safety measures, and governance frameworks Future trends, including Artificial General Intelligence (AGI) and AI's impact on society This book is for AI practitioners, data scientists, engineers, and tech entrepreneurs looking to master Agentic AI and self-learning systems . Whether you're building AI-powered automation for businesses, developing cutting-edge AI research, or exploring AI-driven robotics and cybersecurity, this book equips you with the skills and knowledge to stay ahead in the AI revolution. Basic programming knowledge in Python is recommended but not required. AI technology is evolving rapidly-staying ahead means mastering the latest advancements before they become industry standards. This book equips you with forward-thinking AI strategies, ensuring you're prepared for the next decade of AI-driven transformation. Take your AI expertise to the next level. Autonomous AI Systems: Practical Guide to Building Agentic AI and Self-Learning Systems provides the tools, knowledge, and hands-on experience you need to develop truly autonomous AI applications. Get your copy today and start building the future of AI!
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Add this copy of Autonomous AI Systems: Practical Guide to Building to cart. $14.49, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2025 by Independently Published.
